lwlBCI / ER-4D-CRNN
使用4D切片方式，利用深度学习从时、频、空间域进行EEG情绪识别解码
☆23Updated 2 years ago
Alternatives and similar repositories for ER-4D-CRNN
Users that are interested in ER-4D-CRNN are comparing it to the libraries listed below
Sorting:
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆32Updated last year
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆92Updated last year
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆57Updated last year
- The project uses EEG signals from the DEAP Dataset to classify emotions into 4 classes using Ensembled 1-D CNNs, LSTMs and 2D , 3D CNNs a…☆51Updated 2 years ago
- 运动想象分类模型---ATCNet，源代码融合了关于EEGNet,DeepConvNet,ShallowConvNet等多种典型模型作对比☆26Updated 2 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆39Updated 5 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆73Updated 3 years ago
- Using CNN-LSTM for emotion recognition based on EEG signals☆11Updated 2 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆30Updated 7 months ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆72Updated 3 years ago
- My master thesis about emotion recognition from EEG data with a time series transformer☆21Updated last year
- [TAFFC-2022] PyTorch implementation of TSception v2☆118Updated last year
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆55Updated 4 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆66Updated 2 years ago
- This is the PyTorch implementation of the FBSTCNet-M architecture for EEG-based emotion classification.☆18Updated 5 months ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆53Updated 2 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆107Updated last year
- code for LMDA☆79Updated last year
- A fundamental exploration about EEG-BCI emotion recognition using the SEED dataset & dataset from kaggle.☆10Updated last year
- Emotion Recogniton LSTM RNN Arousal Valence☆51Updated 2 years ago
- ☆30Updated 2 years ago
- 硕士期间课题研究记录☆16Updated 2 years ago
- ☆20Updated last year
- EEG-based Emotion Recognition via Channel-wise Attention and Self Attention☆12Updated 4 years ago
- The official implementation of the paper "Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Con…☆26Updated last week
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆69Updated 2 years ago
- LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion Recognition☆72Updated 5 months ago
- A template: for deep learning processing BCI-2A-Data, including loading data, preprocessing, training, testing, saving the best model, vi…☆20Updated last year
- Motor execution (ME)/motor imagery (MI) cross-task adaptive transfer learning algorithm for MI EEG decoding☆15Updated last year
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆18Updated 2 years ago